Unconstrained facial recognition systems: a review

Hassan, Marwa Yousif and Khalifa, Othman Omran and Abu Talib, Azhar and Hassan Abdalla Hashim, Aisha (2015) Unconstrained facial recognition systems: a review. Asian Journal of Applied Sciences, 3 (2). pp. 346-354. ISSN 2321-0893

PDF Restricted to Repository staff only Download (798kB) | Request a copy

Abstract

Face recognition presents a challenging problem in the field of image analysis and computer vision, and as such has received a great deal of attention over the last few years because of its applications in various domains. Face recognition under controlled environment that is where pose, illumination and other factors are controlled, has well been developed in the literature and near perfection accuracy results have been achieved. However, the unconstrained counterpart, where these factors are not controlled, still under heavy research. Recently, newly developed algorithms in the field that are based on deep learning technology have made significant progress. In this paper, an overview of the newly developed unconstrained facial recognition systems is presented.

Item Type:	Article (Journal)
Additional Information:	4119/43102 Will check later due to University pending subscription as of 26/5/2015 RO
Uncontrolled Keywords:	Face Recognition, Deep Learning, Representation learning, feature learning
Subjects:	T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User:	Prof. Dr Othman O. Khalifa
Date Deposited:	26 May 2015 16:34
Last Modified:	27 Oct 2020 09:18
URI:	http://irep.iium.edu.my/id/eprint/43102

Actions (login required)

View Item